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» Efficient video similarity measurement with video signature
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ICDE
2007
IEEE
137views Database» more  ICDE 2007»
14 years 9 months ago
ProVeR: Probabilistic Video Retrieval using the Gauss-Tree
Modeling objects by probability density functions (pdf) is a new powerful method to represent complex objects in databases. By representing an object as a pdf, e.g. a Gaussian, it...
Alexey Pryakhin, Christian Böhm, Matthias Sch...
MTA
2010
116views more  MTA 2010»
13 years 6 months ago
Performing content-based retrieval of humans using gait biometrics
In order to analyse surveillance video, we need to efficiently explore large datasets containing videos of walking humans. At survei llance-image resolution, the human walk (their ...
Sina Samangooei, Mark S. Nixon
ICDE
2000
IEEE
82views Database» more  ICDE 2000»
14 years 9 months ago
Similarity Search for Multidimensional Data Sequences
Time-series data, which are a series of one-dimensional real numbers, have been studied in various database applications. In this paper, we extend the traditional similarity searc...
Seok-Lyong Lee, Seok-Ju Chun, Deok-Hwan Kim, Ju-Ho...
NOSSDAV
2009
Springer
14 years 2 months ago
Fine-grained scalable streaming from coarse-grained videos
Scalable video is an attractive option for adapting the bandwidth consumption of streaming video to the available bandwidth. Fine-grained scalability can adapt most closely to the...
Pengpeng Ni, Alexander Eichhorn, Carsten Griwodz, ...
ICMCS
2005
IEEE
162views Multimedia» more  ICMCS 2005»
14 years 1 months ago
Clustering of Video Objects by Graph Matching
We propose a new graph-based data structure, called Spatio Temporal Region Graph (STRG) which can represent the content of video sequence. Unlike existing ones which consider main...
JeongKyu Lee, Jung-Hwan Oh, Sae Hwang